Responsibilities

We’re looking for a Staff Data Engineer to join our Data Engineering team, which builds and governs the data foundation that powers the business. You’ll set technical direction for our stack (Python ingestion pipelines, Airflow orchestration, and Snowflake/Databricks) and make sure data moves reliably, securely, and cost-effectively from source to decision-ready output.
This is a senior individual-contributor role with broad scope and influence. You’ll own the architecture of our most critical data systems, define the standards the team builds against, and take on novel, ambiguous, high-stakes problems that don’t have a runbook. You’ll be accountable for outcomes, not just deliverables.
Own the architecture and design of ingestion pipelines, orchestration frameworks, and data delivery systems, producing design docs that DE2s, DE3s, and senior engineers can implement against
Define and evolve the team’s frameworks, conventions, and reference patterns for pipelines, Airflow DAGs, testing, monitoring, and catalog registration so new sources onboard quickly and consistently
Lead diagnosis of the novel data integrity, performance, and reliability problems that escalate past senior engineers, driving systemic fixes and turning recurring failures into runbooks, automation, or better design
Set and track reliability standards (SLOs, alerting, on-call health) and reduce operational toil
Lead data security and governance strategy, including PII masking, RBAC, data classification, and lineage, in partnership with Security, Legal, and Compliance
Design reverse ETL and data delivery integrations (e.g., Segment, LaunchDarkly, Kafka, S3) with clear SLAs, downstream-impact analysis, and failure-handling guarantees
Drive platform decisions on Snowflake, Databricks, and AWS, including cost optimization, capacity planning, and build-vs-buy evaluation
Lead spec and design review, anticipating downstream impact, race conditions, idempotency gaps, and failure modes before code is written, and review high-risk PRs with rigor
Partner with BI, Data Science, Product, and business leadership to turn ambiguous requirements into scalable solutions, prioritize competing demands, and shape the roadmap
Mentor engineers at every level, represent the team in cross-functional forums, pay down technical debt, and participate in hiring

Staff Data Engineer at Fanaticsfbg · LumiJobs

Staff Data Engineer

Responsibilities

Qualification

Preferred

Company

Fanaticsfbg

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